SyedMuhammadHamza/Hybrid-recommendation-system-web-application
Regression-based Movie Recommender system that's a hybrid of content-based and collaborative filtering Recommender system Simply rate some movies and get immediate recommendations tailored for you
This application helps movie watchers discover new films by providing personalized recommendations. You simply rate a few movies you've watched, and the system immediately suggests other movies you might enjoy. It's designed for anyone who loves movies and wants tailored suggestions without extensive searching.
No commits in the last 6 months.
Use this if you are a movie enthusiast looking for personalized film recommendations based on your past ratings.
Not ideal if you're looking for recommendations for media types other than movies, or if you prefer to browse without rating films.
Stars
20
Forks
14
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 29, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/SyedMuhammadHamza/Hybrid-recommendation-system-web-application"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
asif536/Movie-Recommender-System
Basic Movie Recommendation Web Application using user-item collaborative filtering.
victorverma3/Letterboxd-Movie-Recommendations
Generate AI-powered movie recommendations, discover insightful profile statistics, pick movies...
snowch/movie-recommender-demo
This project walks through how you can create recommendations using Apache Spark machine...
kishan0725/AJAX-Movie-Recommendation-System-with-Sentiment-Analysis
A content-based recommender system that recommends movies similar to the movie the user likes...
skotz/cp-user-behavior
Recommendation engine using collaborative filtering and matrix factorization